Hello,

For developers, managers and business leaders, RAG has become as essential a concept to understand as Generative AI and Large Language Models.

One of the quickest ways to learn a concepts is to study the common questions and their answers around the subject. This book contains a list of 80 questions divided in 8 groups for a quick, in-depth understanding of Retrieval Augmented Generation.

Around RAG in 80 Questions - Get your copy!

In the book

RAG Basics---------------------Q1 to Q10

Questions on limitations of LLMs and the introduction to RAG

RAG System Design--------Q11 to Q20

Questions on the high level design of RAG systems

Indexing Pipeline----------Q21 to Q30

Questions on creating a knowledge brain for RAG systems

Generation Pipeline------Q31 to Q40

Questions on real-time user interaction in RAG systems

Evaluation------------------Q41 to Q50

Questions on the evaluation of RAG systems

Beyond Naive RAG---------Q51 to Q60

Questions on advanced RAG techniques

Evolving RAGOps Stack-Q61 to Q70

Questions on the technology stack for RAG

RAG Variants---------------Q71 to Q80

Questions on RAG patterns like multimodal, graph, agents, etc.

Discount

I'm running a 50% off early bird discount on all versions of the book till Sunday (8th December). Use Code EARLY50 to avail the discount at checkout or click the button below!

Get 50% off!

Note: If you find the book unaffordable, please message me separately and we can work it out.

Versions

There are four versions of this book currently being offered -

Questions Only : Contains all 80 Questions (without answers) to understand Retrieval Augmented Generation
Foundations: Contains 40 Questions & Answers (Q1 - Q40) about basics of RAG design, Indexing and Generation Pipeline
Beyond Naive RAG: Contains 40 Questions & Answers (Q41 - Q80) about RAG evaluation, advanced strategies, RAGOps and cutting edge variants.
Around RAG in 80 [Complete book] : Contains all 80 Questions & Answers (Q1 - Q80) to understand Retrieval Augmented Generation

I hope you'll find this book useful too.

As always, I’d love to hear your feedback! Let me know your thoughts, and feel free to connect if you have any questions or ideas for future topics.

lots of love and happy holidays,
Abhinav

0 comments

Webinar Recording : Introduction to RAG

RAG Evaluations : Chapter 5 released

The Power of Embeddings : Keeping Context Alive

New Chapter Release: Generation Pipeline

Code Repository: A Simple Guide to RAG

See all posts from Abhinav Kimothi